Package: r-bioc-edger
Version: 4.10.1+dfsg-1
Architecture: amd64
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 1390
Depends: r-api-4.0, r-api-bioc-3.23, r-bioc-limma (>= 3.63.6), r-cran-locfit, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, r-pkg-team-core-architecture
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-matrix, r-cran-readr, r-bioc-rhdf5, r-cran-seuratobject, r-bioc-annotationdbi, r-bioc-biobase, r-bioc-biocstyle, r-bioc-org.hs.eg.db, r-bioc-s4vectors, r-bioc-summarizedexperiment
Section: gnu-r
Priority: optional
Homepage: https://bioconductor.org/packages/edgeR/
Description: Empirical Analysis of Digital Gene Expression Data in R
 Differential expression analysis of sequence count data.
 Implements a range of statistical methodology based on the negative
 binomial distributions, including empirical Bayes estimation, exact tests,
 generalized linear models, quasi-likelihood, and gene set enrichment.
 Can perform differential analyses of any type of omics data that produces
 read counts, including RNA-seq, ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE, CAGE,
 metabolomics, or proteomics spectral counts. RNA-seq analyses can be conducted
 at the gene or isoform level, and tests can be conducted for differential exon
 or transcript usage.
